2/ Scaling task pretraining helps — alignment rises with compute, data & model size across electrophysiology, fMRI, EEG & MEG.
But it saturates. We fit scaling curves on 600+ models and they extrapolate to held-out large models (DINOv2/v3, CLIP). More scale ≠ endless gains.